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AGRIVITA, Journal of Agricultural Science
Published by Universitas Brawijaya
ISSN : 01260537     EISSN : 24778516     DOI : https://doi.org/10.17503
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
AGRIVITA Journal of Agricultural Science is a peer-reviewed, scientific journal published by Faculty of Agriculture Universitas Brawijaya Indonesia in collaboration with Indonesian Agronomy Association (PERAGI). The aims of the journal are to publish and disseminate high quality, original research papers and article review in plant science i.e. agronomy, horticulture, plant breeding, soil sciences, plant protection and other pertinent field related to plant production. AGRIVITA is published three times per year. The Journal has been indexed in SCOPUS, Scimago Journal Ranks (SJR), Emerging Source Citation Index ( ESCI-Web of Science), EBSCO, ProQuest, Google Scholar and others international indexing. AGRIVITA is accredited first grade (Sinta 1/S1) for five years (2018-2023) based on Decree No: 30/E/KPT/2018 by Ministry of Research, Technology and Higher Education (Ristek Dikti), The Republic of Indonesia. We accept submission from all over the world. All submitted articles shall never been published elsewhere, original and not under consideration for other publication.
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Articles 18 Documents
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Search results for , issue "Vol 42, No 3 (2020)" : 18 Documents clear
Radiation Use Efficiency of Maize (Zea mays L.) on Different Varieties and Intercropping with Mungbean in the Rainy Season Sija, Patta; Sugito, Yogi; Suryanto, Agus; Hariyono, Didik
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2498

Abstract

The variety selection and intercropping system are closely related to canopy architecture which determines the capability of maize crops to intercept and absorb the intensity of solar radiation. The research to increase radiation use efficiency (RUE) of maize based on varietal selection and intercropping with mungbean related to canopy characteristics. The experiment was conducted during the rainy season, from September 2016 to January 2017, in Gowa Regency, South Sulawesi. A factorial randomized block experiment with three replicates was designed the fasilitate the combination of two factor. The first factor was three maize varieties, i.e. Bisi 18, Lamuru, and local variety and the second factors dealt with intercropping systems, i.e. intercropping of maize varity with one, two, three, and four lines of mungbean, and maize monoculture. The results showed that there were interactions between varieties and intercropping to RUE of maize. The RUE of all maize varieties intercropped with mungbean was higher compared to the maize monoculture. The RUE of Bisi 18 intercropped with mungbean was higher than Lamuru and local varieties with the values of 9.53%, 8.80%, and 6.43% respectively. Bisi 18 that has vertical leaf character were more efficient in utilizing solar radiation when intercropped with denser mungbean populations.
Combination Effect Between Lead and Salinity on Anatomical Structure of Date Palm Phoenix dactylifera L. Seedlings Al-Aradi, Haleemah J.; Al-Najjar, Mohammed A.; Awad, Khairullah M.; Abass, Mohammed H.
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2511

Abstract

The study was conducted to evaluate the effect of lead (Pb) stress alone or in combination with salinity on the anatomical structure of roots and leaves of Date palm seedlings. Pb was added to soil at 100, 300 and 600 mg/kg concentrations as a pure aqueous solution or mixed with saline solution at 200 mM. Compared with the control, the microscopic study of root tissues showed that all treatments caused a significant increase in the thickness of epidermis, endodermis and pericycle, whereas the cortex thickness and diameters of the vascular cylinder, protoxylem and metaxylem decreased significantly. However, only the phloem diameter was affected significantly by 600 mg/kg Pb with or without salinity. Compared with the control, results on leaf tissues revealed that treatment with 300 and 600 mg/kg Pb alone or in combination with salinity led to a significant increase in the thickness of cuticle layer, upper epidermis and lower epidermis. Results also showed a significant increase in the diameter of tannin and palisade cells when treated with 100 mg/kg Pb with or without salinity. Small vascular bundle diameter decreased significantly in seedlings exposed to Pb at all examined concentrations with or without salinity.
Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse Tolentino, Lean Karlo S.; Fernandez, Edmon O.; Amora, Shayne Nathalie D.; Bartolata, Daniel Kristopher T.; Sarucam, Joshua Ricart V.; Sobrepeña, June Carlo L.; Sombol, Kristine Yvonne P.
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2600

Abstract

The paper introduced the development of a self-sustainable smart aquaponics system in a temperature-controlled greenhouse with a monitoring and automatic correction system using an Android device through the Internet of Things (IoT) and plant growth monitoring system through image processing using Raspberry Pi. The system involves the acquiring of real-time data detected by the light intensity sensor, and air temperature and humidity sensor. It also includes the monitoring of the pH level and temperature of the recirculating water of the system. If the acquired data is not within the threshold range, the correcting devices, namely grow lights, exhaust and inlet fans, evaporative cooler, aerator, and peristaltic buffer device were automatically triggered by the system to correct and achieve its normal status. The internet remote access includes the effective wireless transmission and reception of data reports between the system and an Android unit with the Android application in real-time. The study focused on the evaluation of two experimental set-ups comparing the plant growth between conventional soil-based farming and the smart aquaponics system using image processing. After data gathering, results showed that the smart aquaponics set-up successfully produced a yield better than the conventional farming set-up.
Influence of Pranic Agriculture on Morphological Traits, Chlorophyll Content and Genetic Polymorphism of Ridge Gourd (Luffa acutangula L. Roxb.) Assessed by RAPD Marker Analysis Poornima, R.; Prasad, K. Nagendra; Yathindra, H. A.; Jois, Srikanth N.
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2715

Abstract

Pranic agriculture is a newly emerging concept of sustainable and eco-friendly agriculture. Pranic agriculture techniques are applied to plants before sowing and at the time of plant development to improve growth and yield. The present study aimed to understand the influence of pranic agriculture on growth, yield, and genetic polymorphism of ridge gourd. An increase in root length by 38%, stem girth by 8%, and the number of days taken for the premier harvest was advanced and found to be significant (p<.05) in pranic treated plots against the control. Chlorophyll content was 26% higher (p<.05) in pranic treated plants when compared to control. To find out the probable effects of pranic agriculture at molecular levels, RAPD marker analysis was carried out and average polymorphism up to 47% was observed between pranic and control treatments. Thus, pranic treatment was found to be very effective in increasing the overall growth and yield of ridge gourd. Further, in-depth studies are warranted about molecular mechanisms that are bringing changes in the plants after pranic treatment.
Effects of Seed Storage Duration and Matriconditioning Materials on Germination and Seedling Characteristics of Maize Arief, Ramlah; Koes, Fauziah; Komalasari, Oom
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2034

Abstract

Matriconditioning treatments have been reported to improve seed and seedling qualities of many crops after certain storage periods. The research was conducted to evaluate different matriconditioning substances on seedlings characteristics of seeds that previously stored in different periods. The research was carried out from October 2015 to April 2016 at the Indonesian Cereal Research Institute (ICERI). The experiment was arranged in factorial completely randomized design to facilitate the combination of two factors. The first factor was seed storage period, i.e. 4, 36 and 72 months, while the second factor dealt with matriconditioning subtances, i.e without matriconditioning, sawdust, carbonized rice hull and rice straw. The results showed that matriconditioning treatments improved seed and seedling qualities of the maize seeds derived from different storage periods. Shorter seed storage period produced seedlings with higher percentage of germination, germination rate, seedling dry weight, shoots and roots lenghts and lower EC. Among the tested matriconditioning substances, carbonized rice hull provided more suitable condition to improve seedling qualities in any seed storage period than saw dust and rice straw.
Pest and Diseases Control Using Synthetic and Botanical Pesticides on Several Wheat Varieties Nurnina Nonci; Amran Muis
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2453

Abstract

The research was carried out to find out the effect of wheat varieties and types of pesticide to control the naturally occurred pests and diseases. The research was designed in a split plot experiment with three replications. The main plot was 3 botanical pesticides (eugenol+eugenol acetate+caryophillene, azadirachtin, citronellal) and 1 synthetic pesticide (dimehypo 550 g/l) and 1 control (distilled water). The subplot was 4 wheat varieties (Guri 1, Guri 3, Guri 4, and Guri 6). Twice application of botanical pesticides was carried out at 30 and 60 days after planting (DAP). Results showed that in both vegetative and generative stage, two main pests were found, namely: Atherigona sp. and stem borer Sesamia inferens. Shoot fly incidence occured before the application of pesticide treatments. The percentage of incidence ranged from 10.33% at Guri 1 to 35.00% at Guri 6. No interaction among the applied treatments was observed on the average percentage of stem borer incidence on both growth stages. The visibly found disease was leaf blotch disease caused by Bipolaris sorokiniana. All evaluated varieties were very susceptible to leaf blotch. The harvestable grain yield was very low due to the attacks of shoot fly, stem borer and also high incidence of leaf blotch.
Evaluation of Drought Tolerance Indices for Screening Some of Super Sweet Maize (Zea mays L. var. saccharata) Inbred Lines Mohsen Shahrokhi; Saeed Khavari Khorasani; Asa Ebrahimi
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2574

Abstract

Drought is the most common cause of severe crop production shortage in developing countries, and global warming is predicted to further exacerbate drought’s impact. The present study investigates the efficiency of drought tolerance indices in classifying 24 super sweet maize inbred lines with the highest yield potential and drought tolerance performance. The experiment was conducted as a completely randomized block design with 4 replications. Twenty indices were compared based on grain yield, under two environments (Non-Stressed and Drought-Stress condition) during the 2018 growing season. All drought indices revealed significant differences among inbred lines, except GM. Results in ranking method, indicate that STI, GMP, MP, HARM, MRP, REI and RDY are suitable indicators because of positive correlations among each other and also the highest correlation with grain yield (GY) in both environments. Cluster analysis and threedimensional plots, showed inbred lines with the highest tolerance to drought, in both conditions. The first three principle components (PCs) explained 96.34% of total variation and the PC1 can be nominated as a potentially stable yield. The Biplot diagram based on PCs, and drought tolerance indices showed that MP, GMP, STI, HARM, MRP, REI, MSTIK1, MSTIK2 and YI were the best indices for screening tolerant inbred lines such as MCH87002/19-1, MPA90010/51-1 and MSH90011/82-1.
Activity of Bamboo Wulung’s Smoke Gigantochloa atroviolace againts Subterranean Termites and Fungi Attack Subekti, Niken; Yoshimura, Tsuyoshi
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2761

Abstract

Termites are plants, housing, furniture, and building pests. Termite control has been carried out using synthetic pesticides that are harmful to the environment and human health. Innovation in controlling termites and fungi is required for the preservation of wood and furniture. The aim of this study was to analyze the use of bamboo Wulung’s (Gigochocha atroviolace) smoke for controlling termites and fungi attacks. The methods used were the manufacture of bamboo’s smoke, a test of preference for termites, and mortality of termites. The results showed that liquid smoke at 450oC was effective for controlling termites and fungi. The smoke of bamboo Wulung with a concentration of 10% can control C. formosanus termites. It showed 100% mortality within 14 days, while the smoke of bamboo Wulung with a concentration of 5% showed 100% mortality of R. speratus within 14 days. Bamboo smoke at pyrolysis temperature 450oC and a concentration of 2.0% can prevent the growth of T. vesicolor fungus while effective at the same concentration for F. palustris. Bamboo smoke can prevent the growth of T. vesicolor mushrooms at a liquid smoke temperature of 450oC with a concentration of 2% and the fungus F. palustris at a concentration of 2.0%.
Effect of Fertilization with N-Inhibitors on Root and Crop Development of Flaxseed Crop (Linum usitatissimum L.) Ioanna P. Kakabouki; Stella Karydogianni; Charikleia Zisi; Antigolena Folina
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2650

Abstract

Flax is a crop whose products can be used in a variety of ways such as industrial use, human consumption, and fiber production. Nitrogen appears to have a positive effect on flaxseed growth and production. In an experiment conducted in two consecutive years in Greece, it has been studied how three combinations of urea fertilization affect flaxseed cultivation (cv. ‘Everest’). More specifically, the experimental treatments with urea fertilizers were represented as follows: only urea; urea with urease inhibitor; and urea with urease inhibitor and nitrates inhibitors. The value of root mass ranged from 0.780 to 1.182 mg/cm3 in the first year and from 0.872 to 1.267 mg/cm3 in the second year. The maximum value of plant height was 69.25 in urea with double inhibitors. Leaf Area Index (LAI) was double in fertilized plots compare to unfertilized. Oil content was significantly affected by year and noticed mostly 1% among treatments. Oil yield was affected by fertilizers and the maximum value was 513.96 kg/ha. A positive significant correlation coefficient was observed between oil yield and LAI (r=0.8699). A positive correlation was noticed between seed yield and NUE (r=0.6881). The most beneficial effects were mentioned under urea with UI and NI inhibitors.
Lettuce Canopy Area Measurement Using Static Supervised Neural Networks Based on Numerical Image Textural Feature Analysis of Haralick and Gray Level Co-Occurrence Matrix Ronnie S. Concepcion II; Sandy C. Lauguico; Jonnel D. Alejandrino; Elmer P. Dadios; Edwin Sybingco
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2528

Abstract

Leaf canopy area is a fundamental crop growth characteristic that encompasses the spatial area covered by plants. However, non-destructive and automatic computation of lettuce canopy area is still open research. This study presents a vision-based system with color space thresholding and machine learning models in measuring the photosynthetic productivity of aquaponic lettuce based on canopy area derived from the numerical image textural features of Haralick and gray level co-occurrence matrix (GLCM). Lettuce images on different growth stages with varying photosynthetic pigment intensities and geometrical structures are extracted with contrast, correlation, energy, homogeneity, entropy, variance, and information measure of correlations 1 and 2 features. For multi-band color space thresholding, CIELab bested RGB, HSV, and YCbCr colour spaces in segmenting the lettuce plant with sensitivity and specificity measures of 94.77% and 97.16% respectively. For measuring the lettuce canopy area, RMSE was recorded as 50.23% for fitness function neural network (FFNN), 20.46% for radial basis function neural network (RBFNN), 15.11% for exact radial basic function neural network (RBEFNN) and 13.54% for generalized regression neural network (GRNN). Comparative analysis revealed that the two-hidden layer GRNN model with 0.09 spread value and 240 hidden neurons bested other machine learning models in terms of RMSE without overfitting.

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